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Viewpoint Invariant Action Recognition using RGB-D Videos
[article]
2018
arXiv
pre-print
In video-based action recognition, viewpoint variations often pose major challenges because the same actions can appear different from different views. We use the complementary RGB and Depth information from the RGB-D cameras to address this problem. The proposed technique capitalizes on the spatio-temporal information available in the two data streams to the extract action features that are largely insensitive to the viewpoint variations. We use the RGB data to compute dense trajectories that
arXiv:1709.05087v2
fatcat:pok3b2pmubeh3d2rdl3tfwn2lm